Holistic Scene Understanding
نویسندگان
چکیده
This report documents the program and the outcomes of Dagstuhl Seminar 15081 “Holistic Scene Understanding”. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Overall, the seminar was a great success, which is also reflected in the very positive feedback we received from the evaluation. Seminar February 15–20, 2015 – http://www.dagstuhl.de/15081 1998 ACM Subject Classification I.2.6 Learning, I.2.10 Vision
منابع مشابه
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding
Recent trends in image understanding have pushed for holistic scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning, and local appearance based classifiers. In this work, we are interested in understanding the roles of these different tasks in improved scene understanding, in particular semantic segme...
متن کاملContinuous Factor Graphs for Holistic Scene Understanding
We propose a novel mathematical formulation for the holistic scene understanding problem and transform it from the discrete into the continuous domain. The problem can then be modeled with a nonlinear continuous factor graph, and the MAP solution is found via least squares optimization. We evaluate our method on the realistic NYU2 dataset.
متن کاملFrom holistic scene understanding to semantic visual perception: A vision system for mobile robot
Semantic visual perception for knowledge acquisition plays an important role in human cognition, as well as in the many tasks expected to be performed by a cognitive robot. In this paper, we present a vision system designed for indoor mobile robotic systems. Inspired by recent studies on holistic scene understanding, we generate spatial information in the scene by considering plane estimation a...
متن کاملCombining Plane Estimation with Shape Detection for Holistic Scene Understanding
Structural scene understanding is an interconnected process wherein modules for object detection and supporting structure detection need to co-operate in order to extract cross-correlated information, thereby utilizing the maximum possible information rendered by the scene data. Such an inter-linked framework provides a holistic approach to scene understanding, while obtaining the best possible...
متن کاملImage Holistic Scene Understanding Based on Global Contextual Features and Bayesian Topic Model
Image holistic scene understanding based on global contextual features and Bayesian topic model is proposed. The model integrates three basic subtasks: the scene classification, image annotation and semantic segmentation. The model takes full advantage of global feature information in two aspects. On the one side, the performance of image scene classification and image annotation are boosted by...
متن کامل